Urban sound tagging with spatiotemporal context
Sound classification is useful for city planner to understand the noise profiles of urban environments such as traffic noise, construction noise, and community noise in order to mitigate urban noise pollution. Metadata such as when and where a sound event occurs are potentially useful for urban soun...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157512 |
| _version_ | 1811678954921132032 |
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| author | Toh, Timothy Kai Siong |
| author2 | Gan Woon Seng |
| author_facet | Gan Woon Seng Toh, Timothy Kai Siong |
| author_sort | Toh, Timothy Kai Siong |
| collection | NTU |
| description | Sound classification is useful for city planner to understand the noise profiles of urban environments such as traffic noise, construction noise, and community noise in order to mitigate urban noise pollution. Metadata such as when and where a sound event occurs are potentially useful for urban sound classification. In this project, you are going to investigate the usages of metadata such as timestamps and locations of the sound events in order to improve the accuracy of the sound classification system in urban environment setting. |
| first_indexed | 2024-10-01T03:01:28Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/157512 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:01:28Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1575122023-07-07T19:16:38Z Urban sound tagging with spatiotemporal context Toh, Timothy Kai Siong Gan Woon Seng School of Electrical and Electronic Engineering EWSGAN@ntu.edu.sg Engineering::Electrical and electronic engineering Sound classification is useful for city planner to understand the noise profiles of urban environments such as traffic noise, construction noise, and community noise in order to mitigate urban noise pollution. Metadata such as when and where a sound event occurs are potentially useful for urban sound classification. In this project, you are going to investigate the usages of metadata such as timestamps and locations of the sound events in order to improve the accuracy of the sound classification system in urban environment setting. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-19T00:22:31Z 2022-05-19T00:22:31Z 2022 Final Year Project (FYP) Toh, T. K. S. (2022). Urban sound tagging with spatiotemporal context. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157512 https://hdl.handle.net/10356/157512 en A3078-211 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Toh, Timothy Kai Siong Urban sound tagging with spatiotemporal context |
| title | Urban sound tagging with spatiotemporal context |
| title_full | Urban sound tagging with spatiotemporal context |
| title_fullStr | Urban sound tagging with spatiotemporal context |
| title_full_unstemmed | Urban sound tagging with spatiotemporal context |
| title_short | Urban sound tagging with spatiotemporal context |
| title_sort | urban sound tagging with spatiotemporal context |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/157512 |
| work_keys_str_mv | AT tohtimothykaisiong urbansoundtaggingwithspatiotemporalcontext |